AI by Hand India Presents

Workshop Overview

This interactive series combines paper‑and‑pen math, beginner‑friendly Python coding, and AI research insights using the AI by Hand Deep Learning Math Workbook (India Edition).

What You’ll Learn

• Dot Product • Matrix Multiplication • Linear Layers
• Activation, Neurons, Batch Processing
• Hidden Layers • Deep vs. Wide Networks • Softmax
• Gradients & Backpropagation

Includes

• Paper‑and‑pen math walkthroughs
• Simple Python code templates
• References to foundational AI research

Rooted in Research

• Perceptron – Rosenblatt (1958)
• Backpropagation – Rumelhart et al. (1986)
• Deep Learning – LeCun, Hinton & Bengio (2015)

Who Should Attend?

• AI/ML Beginners
• CS, Math & Data Students
• Educators & Self-Learners
• Anyone who wants to understand AI at its core

No prior coding or math experience required.

Instructors

Rashpinder Kaur
Narendra Kalamangala
Collaborating with Prof. Tom Yeh, University of Colorado Boulder

Register Now & Resources

Registration Form:
Register here

Website:
AI by Hand – India

Inquiries:
rikku1185@gmail.com
karamangala.narendra@gmail.com